☆37Nov 30, 2022Updated 3 years ago
Alternatives and similar repositories for HFformerV2
Users that are interested in HFformerV2 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Limit Order Book Convolutional Neural Network trading bot☆14Jul 24, 2022Updated 4 years ago
- Transformers for limit order books☆13Jul 25, 2021Updated 5 years ago
- ☆23Aug 10, 2022Updated 4 years ago
- Modern machine learning and statistical toolbox for financial researchers and practitioners☆13Jul 14, 2023Updated 3 years ago
- ☆26Nov 7, 2025Updated 11 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- The Short-Term Predictability of Returns in Order Book Markets: A Deep Learning Perspective.☆66Sep 4, 2023Updated 3 years ago
- Transformers for limit order books☆125Aug 9, 2020Updated 6 years ago
- ☆10May 4, 2022Updated 4 years ago
- Optimal high-frequency market making strategy☆31Nov 24, 2024Updated last year
- Code for optimal execution☆12Oct 29, 2020Updated 5 years ago
- ☆25Dec 18, 2015Updated 10 years ago
- OCET, torch, transformers, DeepLOB,limit-order-books☆11Dec 6, 2022Updated 3 years ago
- ☆22Dec 4, 2023Updated 2 years ago
- MarketGPT: Developing a Pre-trained transformer (GPT) for Modeling Financial Time Series☆19Sep 5, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A collection of assignment submissions from the 2021/22 MSc Computational Finance Course.☆13Jan 3, 2023Updated 3 years ago
- ☆11Oct 6, 2020Updated 6 years ago
- QF-based Hybrid DRL Portfolio Investment System☆14Aug 13, 2023Updated 3 years ago
- Stochastic volatility models and their application to Deribit crypro-options exchange☆13Nov 10, 2024Updated last year
- Benchmark Dataset of Limit Order Book in China Markets☆226Mar 23, 2021Updated 5 years ago
- Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'☆60Apr 6, 2023Updated 3 years ago
- A Data Science pipeline for Algorithmic Trading: A comparative study in applications to Finance and cryptoeconomics☆14Jul 1, 2022Updated 4 years ago
- [Likelihood Lab Project 2024] Official Repository for The Technical Report, Label Unbalance in High-frequency Trading☆29Mar 20, 2025Updated last year
- Pytorch implementation of TransLOB from Transformer for limit order books☆31May 25, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆15Feb 7, 2021Updated 5 years ago
- ☆32Mar 10, 2026Updated 7 months ago
- ☆11Sep 6, 2023Updated 3 years ago
- Using reinforcement learning to make markets in the high frequency trading setting.☆30May 30, 2026Updated 4 months ago
- This repo contains some codes and outputs of my implementation of DeepLOB model.☆97Mar 12, 2021Updated 5 years ago
- The Interactive Frontend Built for Aioquant.☆13May 11, 2022Updated 4 years ago
- This was a university group project supported by the HSBC Artificial Intelligence team. It involved applying machine learning algorithms …☆16Nov 13, 2023Updated 2 years ago
- ☆150Jul 19, 2024Updated 2 years ago
- LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈☆125May 9, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- python implemented function, indicator, strategies of TSM book (trading-system-and-mehotds)☆18Dec 24, 2020Updated 5 years ago
- Python implementation of the paper 'Outcome-Adaptive Lasso: Variable Selection for Causal Inference'☆17Jul 17, 2020Updated 6 years ago
- This jupyter notebook is used to demonstrate our recent work, "DeepLOB: Deep Convolutional Neural Networks for Limit Order Books", publis…☆615Jul 15, 2021Updated 5 years ago
- ☆21Jun 17, 2026Updated 3 months ago
- This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.o…☆640Mar 19, 2026Updated 6 months ago
- Trading with ML on binance microstructure market data☆15Dec 29, 2023Updated 2 years ago
- This is a non-official implementation of the trend labeling method proposed in the paper "A Labeling Method for Financial Time Series Pre…☆51Jan 18, 2025Updated last year